Tim Kietzmann

We managed to integrate brain scans into LLMs for interactive brain reading and more.. check out Vicky's post below. Super excited about this one!

Friendly reminder: we are looking to hire a Full Professor in the field of "Intelligence in Biological and Artificial Intelligence" at the IKW. Topic wise, the position is fairly open: www.uni-osnabrueck.de/en/universit... Deadline coming up on the 6th of October.

We are excited! @initself.bsky.social & @rowansommers.bsky.social will present their **Umwelt Representation Hypothesis** at our next meeting. Sep 18, 11 am (CET) [Hybrid] Find the link to the online meeting here: www.cbs.mpg.de/en/cbs-coconut or join us at MPI CBS #neuroai #neuroskyence #ai

Important update: we just extended the application deadline to the 6th of October 2026. www.uni-osnabrueck.de/en/universit...

Everything is ready for the third iteration of NEAT (Neuro-AI-Talks), starting tomorrow. New location, new workshop formats to explore.. I'll keep you posted! For the ~100 people making on their way towards Osnabrück: we are looking forward to having you over! #NEAT2026

Yeah sure, I'll let your AI agents have access to my password manager - what could possibly go wrong...

Quick reminder that we are looking to fill a (tenured) full professor role in "Intelligence in Biological and Artificial Systems".

Thank you for having me. Great event and an inspiring initiative!

Check out our new TICS article! We present an alternative take on the widely observed alignment between various AI models and human brain representations: the Umwelt Representation Hypothesis.

How can we design experiments that make computational models disagree? One section of our new @natrevneuro.nature.com Review with @kriegeskorte.bsky.social and @heikoschuett.bsky.social examines studies that used stimulus sets designed to elicit distinct predictions from competing models. 1/16

📢 We are hiring a full professor in "Intelligence in Biological and Artificial Systems". Come join us at Germany's first and largest cognitive science program. Please share far and wide, and get in touch with any questions. www.uni-osnabrueck.de/en/universit...

Excited to share our new paper: "Probing the content of semantic representations in body-selective regions" We propose a framework based on object co-occurrence to interpret semantic representations of natural scenes predicted by LLM embeddings. doi.org/10.1162/IMAG...

Happy to be serving as editor for MMB. Excited about what is to come.

NEAT (Neuro-AI-Talks) is fully booked! We are happy for the great interest and are looking forward to welcoming you all to Osnabrück in September!

Packed room for the second talk of the MIND (machine intelligence, neuroscience discovery) lecture series in Osnabrück. Excited to hear from @dirkwulff.bsky.social !

Ever wondered why we fixate some locations longer than others? We initially thought that it had to do with recognition complexity, and were quite wrong. In Nature Neuroscience we present an alternative take: the need to memorise governs fixation durations.

Now out in Nature Neuroscience: "Fixation duration on natural scenes is explained by memory encoding not processing demand". www.nature.com/articles/s41... Our eyes don't linger because recognition is hard; they linger to remember. Let me take you on a quick tour. 🧵

Our NeuroAI study made it onto the cover of Nature Machine Intelligence ❤️. In it, we demonstrate that a developmentally-inspired visual diet can drastically improve the robustness of ANN-based vision systems. www.nature.com/articles/s42... open access, open code, open weights, open science.

This paper changed my mind on how visual processing works in the brain. We knew it was dynamic given all the recurrent connections. But I thought it would converge to a fixpoint during a fixation. Not so, it seems ... The dynamic captures different aspects of the stimulus at different times. Nice.

Looking for robust AI vision? Then this NeuroAI paper may be for you 👇 Open access, open code, open weights.

A huge effort and a new take on what constitutes the "feedforward pass" across the visual system. Make sure to check out our new preprint:

A huge effort and a new take on what constitutes the "feedforward pass" across the visual system. Make sure to check out our new preprint:

We wrote a book! www.cambridge.org/core/books/s... Consciousness science is a fascinating but bewildering field: many competing theories, little consensus, and big open questions. If you are looking for an accessible guide through this complex landscape, this book is for you.

Highly recommended: I really enjoyed NEAT, every time I attended. Great opportunity to catch up on #NeuroAI, especially for those who can't make it to CCN!

📢 PhD position in the NeuroAI of Language Why can LLMs predict brain activity so well? We're hiring a PhD student to find out -- AI interpretability meets neuroimaging Deadline March 20 Please RT 🙏 👇 mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-neuroai-language

📢 PhD position in Developmental Language Modelling (PLZ RT) What can human language acquisition teach us about training language models? Join us as a PhD! mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-developmental-language @carorowland.bsky.social @mpi-nl.bsky.social

What a milestone 🤯. The institute of cognitive science in Osnabrück, the first of its kind in Germany, is now home to more than 1,000 cognitive science students across our programs. Wild.

What happens if you hook up an energy-efficiency optimising RNN on active vision input? It learns predictive remapping and path integration into allocentric scene coordinates. Now out in patterns: www.cell.com/patterns/ful...

Excited to share my first paper: Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One (NeurIPS 2025). link below.

Our work reveals a sharp trade-off between predictive accuracy and model identifiability. Flexible mappings maximize predictivity, but blur the distinction between competing computational hypotheses.

🚨 Out in Patterns! We asked ourselves, if complex neural dynamics like predictive remapping and allocentric coding can emerge from simple physical principles, in this case Energy Efficiency. Turns out they can! More information in the 🧵 below. I am super excited to see this one out in the wild.

We went back to the drawing board to think about what information is available to the visual system upon which it could build scene representations. The outcome: a self-supervised training objective based on active vision that beats the SOTA on NSD representational alignment. 👇

Figuring out how the brain uses information from visual neurons may require new tools, writes @neurograce.bsky.social. Hear from 10 experts in the field. #neuroskyence www.thetransmitter.org/the-big-pict...

Hi, we will have three NeuroAI postdoc openings (3 years each, fully funded) to work with Sebastian Musslick (@musslick.bsky.social), Pascal Nieters and myself on task-switching, replay, and visual information routing. Reach out if you are interested in any of the above, I'll be at CCN next week!